Anna Goldie is a machine learning researcher-turned-founder with nine years of experience building production AI systems and tools, now leading Ricursive Intelligence to apply AI to chip design. She previously co-led the ML for Systems team at Google Brain/DeepMind, co-authored the Nature paper on AlphaChip whose RL-generated layouts power multiple TPU generations, and held senior research roles at Anthropic and DeepMind working on LLM research. With a PhD candidacy at Stanford and MEng/BS degrees from MIT in CS (and a BS in Linguistics), she blends deep theoretical training with pragmatic engineering and product impact. Anna is as passionate about elegant, readable code as she is about the nuances of natural language, and has a track record of open-sourcing influential ML tooling that accelerated research adoption.
9 years of coding experience
14 years of employment as a software developer
Master of Engineering - MEng Computer Science, Master of Engineering - MEng Computer Science at Massachusetts Institute of Technology
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Stanford University
Chinese, Japanese, French, Italian, German, English
Contributions:2 PRs, 4 pushes, 2 branches in 1 day
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